Associating Cognition With Amyloid Status Using Partially Ordered Set Analysis

Autor: Sarah J.A. Carr, Judith Jaeger, Shijia Bian, Ping He, Nancy Maserejian, Wenting Wang, Paul Maruff, Ahmed Enayetallah, Yanming Wang, Zhengyi Chen, Alan Lerner, Curtis Tatsuoka, Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Frontiers in Neurology, Vol 10 (2019)
Druh dokumentu: article
ISSN: 1664-2295
DOI: 10.3389/fneur.2019.00976
Popis: Background: The presence of brain amyloid-beta positivity is associated with cognitive impairment and dementia, but whether there are specific aspects of cognition that are most linked to amyloid-beta is unclear. Analysis of neuropsychological test data presents challenges since a single test often requires drawing upon multiple cognitive functions to perform well. It can thus be imprecise to link performance on a given test to a specific cognitive function. Our objective was to provide insight into how cognitive functions are associated with brain amyloid-beta positivity among samples consisting of cognitively normal and mild cognitively impaired (MCI) subjects, by using partially ordered set models (POSETs).Methods: We used POSET classification models of neuropsychological test data to classify samples to detailed cognitive profiles using ADNI2 and AIBL data. We considered 3 gradations of episodic memory, cognitive flexibility, verbal fluency, attention and perceptual motor speed, and performed group comparisons of cognitive functioning stratified by amyloid positivity (yes/no) and age (
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